How to Use the Lob MCP in Pydantic AI
Bring strict type safety to physical mail operations by integrating Lob with your Pydantic AI agents.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Lob MCP to Pydantic AI
Create your Vinkius account to connect Lob to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Type-safe address validation in Pydantic AI
The Lob MCP Server exposes `verify_us_address` and `autocomplete_us_address` to clean and standardize physical delivery coordinates. Your agent passes messy inputs to these tools and receives strictly typed address payloads in return. If the address verification tool returns unexpected data formats, Pydantic AI raises a validation error immediately. This prevents your Python application from writing corrupted address records to your database or sending mail to invalid locations.
Send verified letters and postcards with Pydantic AI
The `create_letter` and `create_postcard` tools let your agent generate physical mail pieces using HTML templates. The agent maps your internal data structures to Lob's required parameters, ensuring perfect alignment before dispatch. By using `create_template` and `get_template`, your agent manages reusable layouts safely. If a template schema changes, the runtime validation catches mismatches before the agent attempts to trigger a print job.
Secure check issuance with runtime model validation
The `create_bank_account` and `create_check` tools allow your agent to register funding sources and mail physical checks. Every bank routing number and account field is validated against strict Pydantic models before the MCP tool execution. You can audit your financial transactions by calling `list_checks` and `get_check`. Because every response is validated at runtime, you can trust that your payment tracking data matches your application schemas exactly.
Set up Lob MCP in Pydantic AI
Prerequisites
- Python 3.10+ installed
-
pydantic-ai-slim[fastmcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"lob-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Lob tools.",
)
result = await agent.run("List recent Lob transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Lob. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Lob MCP in Pydantic AI
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